MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13194
Single Precision Score
15446
Half Precision Score
14304
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | itroos |
| Upload Date | December 11 2025 11:41 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6448
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6960
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6181
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10799
175.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11846
192.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11285
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
43550
50.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
49125
57.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
47027
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
6037
478.9 IPS |
|
|
Object Detection (HP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (Q)
|
92% |
5924
472.8 IPS |
|
|
Face Detection (SP)
|
100% |
17468
207.6 IPS |
|
|
Face Detection (HP)
|
100% |
23134
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
18675
221.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27491
211.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30271
233.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
27701
216.4 IPS |
|
|
Style Transfer (SP)
|
100% |
91189
117.2 IPS |
|
|
Style Transfer (HP)
|
100% |
106532
136.9 IPS |
|
|
Style Transfer (Q)
|
96% |
103156
133.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14663
541.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16149
596.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13716
506.5 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5003
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5048
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4607
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5028
86.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4996
86.3 IPS |
